submission_id: cgato-thespice-l3-8b-v0-_3213_v3
developer_uid: c.gato
status: inactive
model_repo: cgato/TheSpice-L3-8b-v0.3.1-Base
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.95, 'min_p': 0.075, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}', 'prompt_template': '\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
timestamp: 2024-06-18T03:28:34+00:00
model_name: cgato-thespice-l3-8b-v0-_3213_v3
model_group: cgato/TheSpice-L3-8b-v0.
num_battles: 12821
num_wins: 6583
celo_rating: 1196.44
propriety_score: 0.6910792063236005
propriety_total_count: 6199.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030294016.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-thespice-l3-8b-v0-_3213_v3
ineligible_reason: None
language_model: cgato/TheSpice-L3-8b-v0.3.1-Base
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-17
win_ratio: 0.5134544887294282
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-l3-8b-v0-3213-v3-mkmlizer
Waiting for job on cgato-thespice-l3-8b-v0-3213-v3-mkmlizer to finish
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cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: ║ Version: 0.8.14 ║
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Downloaded to shared memory in 17.224s
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:01, 159.02it/s] Loading 0: 11%|█ | 32/291 [00:00<00:01, 155.93it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:01, 151.24it/s] Loading 0: 23%|██▎ | 66/291 [00:00<00:01, 152.50it/s] Loading 0: 29%|██▊ | 83/291 [00:00<00:02, 85.73it/s] Loading 0: 33%|███▎ | 95/291 [00:00<00:02, 92.65it/s] Loading 0: 39%|███▉ | 113/291 [00:00<00:01, 110.01it/s] Loading 0: 45%|████▌ | 131/291 [00:01<00:01, 124.01it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:01, 135.72it/s] Loading 0: 57%|█████▋ | 167/291 [00:01<00:00, 145.23it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:01, 101.05it/s] Loading 0: 69%|██████▉ | 201/291 [00:01<00:00, 107.45it/s] Loading 0: 75%|███████▌ | 219/291 [00:01<00:00, 120.05it/s] Loading 0: 81%|████████▏ | 237/291 [00:01<00:00, 131.68it/s] Loading 0: 88%|████████▊ | 255/291 [00:02<00:00, 139.51it/s] Loading 0: 94%|█████████▍| 273/291 [00:02<00:00, 147.06it/s] Loading 0: 99%|█████████▉| 289/291 [00:07<00:00, 10.01it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: quantized model in 22.990s
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Processed model cgato/TheSpice-L3-8b-v0.3.1-Base in 42.639s
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v3
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v3/config.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v3/special_tokens_map.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v3/tokenizer_config.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v3/tokenizer.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v3/flywheel_model.0.safetensors
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Saving duration: 0.396s
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.203s
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/tokenizer_config.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/config.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/special_tokens_map.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/vocab.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/merges.txt
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/tokenizer.json
cgato-thespice-l3-8b-v0-3213-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v3_reward/reward.tensors
Job cgato-thespice-l3-8b-v0-3213-v3-mkmlizer completed after 73.28s with status: succeeded
Stopping job with name cgato-thespice-l3-8b-v0-3213-v3-mkmlizer
Pipeline stage MKMLizer completed in 76.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-l3-8b-v0-3213-v3
Waiting for inference service cgato-thespice-l3-8b-v0-3213-v3 to be ready
Inference service cgato-thespice-l3-8b-v0-3213-v3 ready after 80.43023037910461s
Pipeline stage ISVCDeployer completed in 87.62s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1403486728668213s
Received healthy response to inference request in 1.261932134628296s
Received healthy response to inference request in 1.287912130355835s
Received healthy response to inference request in 1.2170495986938477s
Received healthy response to inference request in 1.210968017578125s
5 requests
0 failed requests
5th percentile: 1.2121843338012694
10th percentile: 1.213400650024414
20th percentile: 1.2158332824707032
30th percentile: 1.2260261058807373
40th percentile: 1.2439791202545165
50th percentile: 1.261932134628296
60th percentile: 1.2723241329193116
70th percentile: 1.2827161312103272
80th percentile: 1.4583994388580324
90th percentile: 1.799374055862427
95th percentile: 1.969861364364624
99th percentile: 2.1062512111663816
mean time: 1.423642110824585
Pipeline stage StressChecker completed in 7.74s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cgato-thespice-l3-8b-v0-_3213_v3 status is now deployed due to DeploymentManager action
cgato-thespice-l3-8b-v0-_3213_v3 status is now inactive due to auto deactivation removed underperforming models

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